NSF Award 2101350
Our Socio-technical Approach for Biomedical Content Authoring and Structured Web Publishing
Balancing the speed and accuracy in structured biomedical content authoring
Research archive
Projects
Browse the lab's established portfolio of biomedical informatics, semantic technology, predictive modeling, and clinical AI projects.
Featured
Ontology-based Scientific Metadata Generation
Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. …
Reporting and connecting cell type names and gating definitions through ontologies
Human immunology studies often rely on the isolation and quantification of cell populations from an input sample based on flow cytometry and related techniques. …
More
How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks
Triplestores are data management systems for storing and querying RDF data. …
Formal representation of immunology related data with ontologies
The Human Immunology Project Consortium (HIPC) is a multicenter collaboration between research centers performing large-scale human immunology studies that focus on profiling the human immune response to natural infection and vaccination. …
A linked data graph approach to integration of immunological data
Systems biology involves the integration of multiple data types (across different data sources) to offer a more complete picture of the biological system being studied. …
The ADC API: a web API for the programmatic query of the AIRR Data Commons
The Adaptive Immune Receptor Repertoire (AIRR) Community is a research-driven group that is establishing a clear set of community-accepted data and metadata standards. …
Predicting 30-days All-cause Hospital Readmissions Considering Discharge-to-alternate-care-facilities
Hospital discharge is a decision based on several data points including diagnostic, physiological, demographic and caretaker information. …
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Hepatocellular carcinoma (HCC) is a common type of liver cancer worldwide. …
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. …
Statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
Trauma patients admitted to critical care are at high risk of mortality because of their injuries. …
Classification of positive COVID-19 CT scans using deep learning
In medical imaging, computer vision researchers are faced with a variety of features for verifying the authenticity of classifiers for an accurate diagnosis. …
A Deep Learning Approach for COVID-19 & Viral Pneumonia Screening with X-ray Images
Beginning in December 2019, the spread of the novel Coronavirus (COVID-19) has exposed weaknesses in healthcare systems across the world. …